1ď¸âŁ Introduction Search is at the heart of every AI application. Whether youâre building a legal research assistant, a compliance monitoring tool, or an LLM-pow...
đ Introduction: Why BM25 Matters Imagine you type âbest Python tutorialsâ into a search engine. Millions of web pages match your queryâbut how does the engine k...
1. Introduction The Internet once felt like a boundless public square: anyone could publish, anyone could read. But the rise of large language models (LLMs) lik...
1. Introduction The way we write code is changing faster than ever. For decades, developers have relied on traditional IDEs like IntelliJ IDEA, Eclipse, and Vis...
AI engineers spend a lot of time building, training, and iterating on models. But as pipelines grow more complex, it becomes difficult to answer simple but cruc...
Practical Guide for AI Engineers with Supporting Tools Artificial Intelligence (AI) is no longer a research curiosityâit powers critical systems in healthcare, ...
In Part 2, we built a ProvenanceTracker that generates signed, schema-versioned lineage logs for datasets, models, and inferences. That ensures trust at the dat...
In modern AI pipelines, provenance â the lineage of datasets, models, and inferences â is becoming as important as accuracy metrics. Regulators, auditors, and e...
1. Introduction: Why AI Needs a Paper Trail Imagine debugging a complex AI pipeline without knowing which version of the dataset was used, how the features were...
1. Introduction Ravi runs a small auto parts shop in Navi Mumbai. His day starts at 8 AM, but even before he lifts the shutter, his phone is already buzzing. Cu...